Weight concerns and smoking in a general population: the Inter99 study

The association of smoking with different eating and dietary behaviours: A cross-sectional analysis of 80 296 United Kingdom adults

BACKGROUND AND AIMS

Smokers typically have a lower body mass index (BMI) than non-smokers, while smoking cessation is associated with weight gain. In pre-clinical research, nicotine in tobacco smoking suppresses appetite and influences subsequent eating behaviour; however, this relationship is unclear in humans. This study measured the associations of smoking with different eating and dietary behaviours.

DESIGN

A cross-sectional analysis of data from health assessments conducted between 2004 and 2022.

SETTING

An independent healthcare-based charity within the United Kingdom.

PARTICIPANTS

A total of 80 296 men and women (mean ± standard deviation [SD]: age, 43.0 ± 10.4 years; BMI, 25.7 ± 4.2 kg/m2; 62.5% male) stratified into two groups based on their status as a smoker (n = 6042; 7.5%) or non-smoker (n = 74 254; 92.5%).

MEASUREMENTS

Smoking status (self-report) was the main exposure, while the primary outcomes were selected eating and dietary behaviours. Age, sex and socioeconomic status (index of multiple deprivation [IMD]) were included as covariates and interaction terms, while moderate-to-vigorous exercise and sleep quality were included as covariates only.

FINDINGS

Smokers had lower odds of snacking between meals and eating food as a reward or out of boredom versus non-smokers (all odds ratio [OR] ≤ 0.82; P < 0.001). Furthermore, smokers had higher odds of skipping meals, going more than 3 h without food, adding salt and sugar to their food, overeating and finding it hard to leave something on their plate versus non-smokers (all OR ≥ 1.06; P ≤ 0.030). Additionally, compared with non-smokers, smoking was associated with eating fried food more times per week (rate ratio [RR] = 1.08; P < 0.001), eating fewer meals per day, eating sweet foods between meals and eating dessert on fewer days per week (all RR ≤ 0.93; P < 0.001). Several of these relationships were modified by age, sex and IMD.

CONCLUSIONS

Smoking appears to be associated with eating and dietary behaviours consistent with inhibited food intake, low diet quality and altered food preference. Several of these relationships are moderated by age, sex and socioeconomic status.

A Gender-Informed Smoking Cessation App for Women: A Protocol for an Acceptability and Feasibility Study

BACKGROUND

Tobacco smoking remains the leading preventable cause of death and disease among women. Quitting smoking offers numerous health benefits; however, women tend to have less success than men when attempting to quit. This discrepancy is partly due to sex and/or gender-related factors, including the lower effectiveness of smoking cessation medication and the presence of unique motives for smoking and barriers to quitting among women. Despite the gendered nature of smoking, most smoking cessation apps are gender-neutral, and fail to address women's specific needs.

OBJECTIVE

To test the acceptability and feasibility of a smartphone app that delivers gender-informed content to support women in quitting smoking.

METHODS

We co-developed a smoking cessation app specifically tailored for women, named My Change Plan-Women (MCP-W). This app builds upon our previous gender-neutral app, MCP, by retaining its content grounded in behavioral change techniques aimed at supporting tobacco reduction and cessation. This includes quit goal setting, identifying triggers to smoking, creating coping strategies, tracking cigarettes and cravings, and assessing financial savings from quitting smoking. The MCP-W app contains additional gender-informed content that acknowledges barriers to quitting, such as coping with stress, having smokers in one's social circle, and managing unpleasant emotions. This content is delivered through testimonials and animated videos. This study is a prospective, single-group, mixed-methods investigation in which 30 women smokers will trial the app for a period of 28 days. Once participants provide informed consent, they will complete a baseline survey and download the app on their smartphones. After 28 days, participants will complete follow-up surveys. Acceptability will be assessed using the Theoretical Framework of Acceptability, which evaluates whether participants perceive the app as helpful in changing their smoking. The app will be deemed acceptable if the majority of participants rate it as such, and feasible if the majority of the participants use it for at least 7 days. Furthermore, after the 28-day trial period, participants will complete a semi-structured interview regarding their experience with the app and suggestions for improvement.

RESULTS

Development of the MCP-W app was completed in September 2023. Participant recruitment for testing of the app commenced in February 2024.

CONCLUSIONS

Offering smoking cessation support tailored specifically to address the unique needs of women through a smartphone app represents a novel approach. This study will test whether women who smoke perceive this approach to be acceptable and feasible in their journey towards smoking cessation.

CLINICALTRIAL

Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults

(1) Background: Artificial intelligence using machine learning techniques may help us to predict and prevent obesity. The aim was to design an interpretable prediction algorithm for overweight/obesity risk based on a combination of different machine learning techniques. (2) Methods: 38 variables related to sociodemographic, lifestyle, and health aspects from 1179 residents in Madrid were collected and used to train predictive models. Accuracy, precision, and recall metrics were tested and compared between nine classical machine learning techniques and the predictive model based on a combination of those classical machine learning techniques. Statistical validation was performed. The shapely additive explanation technique was used to identify the variables with the greatest impact on weight gain. (3) Results: Cascade classifier model combining gradient boosting, random forest, and logistic regression models showed the best predictive results for overweight/obesity compared to all machine learning techniques tested, reaching an accuracy of 79%, precision of 84%, and recall of 89% for predictions for weight gain. Age, sex, academic level, profession, smoking habits, wine consumption, and Mediterranean diet adherence had the highest impact on predicting obesity. (4) Conclusions: A combination of machine learning techniques showed a significant improvement in accuracy to predict risk of overweight/obesity than machine learning techniques separately.

Impact of Weight Concern on Post-Cessation Weight Management, Smoking Cessation, and Program Engagement

PURPOSE

Weight concern is a barrier to smoking cessation. We examined the impact of weight concern on post-cessation weight gain, abstinence and program engagement.

DESIGN

Randomized-controlled trial.

SETTING

Telephone-based and group-based intervention sessions.

SUBJECTS

305 participants were randomized and analyzed.

INTERVENTION

Participants were randomized to receive a self-guided intervention, a weight loss intervention, or a weight stability intervention prior to all receiving the same smoking cessation intervention.

MEASURES

Level of weight concern on three measures, point-prevalence abstinence, weight change, and session attendance at 12 months.

ANALYSIS

Continuous and discrete outcomes were compared between weight-concerned and non-weight-concerned participants using two-sample t-tests and chi-square tests respectively.

RESULTS

There were no significant differences in weight change (range: +1.77, -1.91 kg) when comparing weight-concerned and non-weight-concerned participants. Point-prevalence abstinence ranged from 36% to 64%, with no differences by condition based on level of weight concern. There were no significant differences in session attendance by weight concern (Weight sessions: 50-70%, Smoking cessation sessions: 41-56%, Booster sessions: 28-45%). Weight concern, on all measures, significantly decreased between screening and 2 months (after the weight management intervention), for most of the comparisons made overall and by condition.

CONCLUSION

It may not be necessary to screen for weight concerns in smoking cessation and/or post-cessation weight management programs, as the trial interventions were beneficial regardless of weight concern.

Diet quality as assessed by the healthy eating index-2020 among different smoking status: an analysis of national health and nutrition examination survey (NHANES) data from 2005 to 2018

BACKGROUND

Combining smoking with poor eating habits significantly elevates the risk of chronic illnesses and early death. Understanding of how dietary quality shifts post-smoking cessation remains limited. The objective of this study is to examine dietary quality - using Healthy Eating Index (HEI - 2020) and its 13 components, among current, former, and never smokers, and particularly the impact of quitting and the duration of cessation on dietary habits.

METHODS

A cross-sectional analysis of 31,569 adults from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was conducted. Dietary quality was assessed using HEI-2020 scores, which were determined by NIH developed - simple HEI scoring algorithm per person. Smoking status was categorized into current, former, and never smokers, with further subdivisions for current (heavy/light smokers) and former smokers (duration post-cessation). Descriptive analysis and multiple regression models weighted to represent the US population were performed.

RESULTS

The current smoking rate was 19.4%, with a higher prevalence in males (22.5%) than females (17.5%). Current smokers reported statistically significantly lower HEI total score than both former and never smokers. Former smokers exhibited HEI scores similar to those of never smokers. The adjusted HEI total scores for current, former, and never smokers were 49.2, 54.0, and 53.3, respectively, with a statistically significant difference (p < 0.001). Moreover, light smokers had better total HEI score than heavy smokers (46.8 vs. 50.8, p < 0.001, respectively), but former and never smokers scored even higher. Quitting smoking immediately improved dietary quality, with former smokers reaching the dietary levels of never smokers within 5-10 years (53.8 vs. 53.3, p > 0.05, respectively). Compared to current smokers, former smokers tended to consume more beneficial foods (e.g., fruits, vegetables, greens and beans, whole grains, proteins, and fatty acids), while also consuming more sodium and less added sugar.

CONCLUSIONS

Current smokers, particularly heavy smokers, exhibit poorer dietary habits than former and never smokers. The dietary quality of former smokers aligns with never smokers over time, highlighting the positive impact of smoking cessation on diet. This has implications for reducing chronic disease risks associated with poor diet and smoking.

"Healthier health in more ways than one": Perspectives on a program for changing both smoking and obesity-related health behaviors

INTRODUCTION

Individuals with obesity who smoke cigarettes have increased risk of morbidity and mortality. The goal of the current study was to inform the development of a multiple health behavior change intervention designed to facilitate smoking cessation while also targeting weight gain.

METHODS

Four qualitative focus groups were conducted with individuals who smoked cigarettes and had overweight or obesity (n = 16) to explore the combined effects of smoking and obesity, past attempts to quit smoking or lose weight, and preferences for a combined health intervention.

RESULTS

Focus groups converged on five themes including: the interactive effects of weight and smoking; lack of experience with evidence-based weight loss approaches; a desire and expectation to lose weight quickly; rapid weight gain during past attempts at smoking cessation; and interest in a multiple health behavior change intervention with weight management preceding smoking cessation and an emphasis on planning for the future and receiving encouragement and support.

CONCLUSIONS

Groups provided insight into key topics to highlight in a combined intervention and key issues that have interfered with success in both domains.

Determinants of smoking related weight-concern in smokers participating in a community-based cessation program

BACKGROUND

Concern about weight gain is a barrier to smoking-cessation, but determinants of postcessation weight-concern have not been comprehensively assessed in the context of community-based cessation programs.

METHODS

This cross-sectional analysis used baseline data from a cessation trial of 392 adults randomized to physical activity (PA) or general wellness counseling as adjunctive treatment for smoking. Outcomes were 1) smoking behaviors to control weight and 2) anticipating relapse due to weight gain. Independent variables were PA and perceptions, sociodemographics, psychosocial measures, smoking behavior and perceptions, diet, and BMI. From bivariable models examining main and sex interaction effects, significant variables were entered into a linear (control) or logistic (relapse) regression model to identify key determinants.

RESULTS

For both measures, weight-concern was greater (p < .05) for female smokers (standardized b = 0.52, SE = 0.10; OR = 0.29, 95 % CI = 0.17-0.49), White (b = 0.12, SE = 0.05; OR = 0.39, 95 % CI = 0.23-0.66), and less motivated to quit (b = -0.14, SE = 0.05; OR = 0.77, 95 % CI = 0.59-1.0). Higher scores for smoking to control weight were associated with less PA (b = -0.10, SE = 0.05) and higher BMI (b = 0.21, SE = 0.05). For men, higher BMI was associated with greater anticipation of relapse (OR = 2.54, 95 % CI = 1.42-4.56).

CONCLUSIONS

Among adults attempting cessation, women, White smokers, and those less motivated to quit were more likely to smoke for weight control and to relapse due to weight gain. Higher BMI was associated with greater anticipation of relapse for men, but not women. Weight-concerns, for both measures, were not related to smoking history, psychosocial functioning, PA engagement or attitudes, or dietary variables. Results suggest potential cessation intervention targets for weight-concerned smokers.

Behavioral activation for smoking cessation and the prevention of smoking cessation-related weight gain: A randomized trial

BACKGROUND

Post-cessation weight gain (PCWG) is an obstacle to smoking cessation. This trial evaluated a behavioral intervention targeting alternative rewards to smoking and high calorie snacking to promote smoking cessation while mitigating PCWG.

METHODS

Adult smokers (n = 288; 119 females, 169 males) received eight weeks of transdermal nicotine and were randomized to eight sessions of behavioral activation for smoking cessation and the mitigation of PCWG (BAS+) or standard smoking cessation counseling (SC). Primary outcomes were 7-day point prevalence abstinence and PCWG 26 weeks after the target quit date. Change in caloric intake from pre-treatment through the 26-week follow-up was a secondary outcome. Data were collected from September 2016 to February 2021, and analyses were completed in July 2022.

RESULTS

BAS+ and SC did not differ in smoking abstinence rates at the 26-week follow-up (OR=0.80, 95%CI 0.50-1.27, p = 0.34; 18% versus 23%). There were no significant differences in PCWG between BAS+ and SC who were 7-day point prevalence abstinent (β = -0.29, 95%CI -2.13 to 1.65, p = 0.77; 2.60 versus 2.20 pounds, respectively) or among those continuously abstinent (5.78 versus 5.34 pounds, respectively). There were no significant differences in caloric intake between BAS+ and SC from baseline to the 26-week follow-up (β = 110.65, 95%CI -96.72 to 318.02, p = 0.30; -19.1 versus -116.9 kcals/day, respectively).

CONCLUSIONS

The results do not support the efficacy of BAS+ for smoking cessation and the prevention of PCWG. These findings join a growing body of research highlighting the challenge of minimizing PCWG and promoting smoking abstinence.

Is the ongoing obesity epidemic partly explained by concurrent decline in cigarette smoking? Insights from a longitudinal population study. The Tromsø Study 1994-2016

The increase of obesity coincides with a substantial decrease in cigarette smoking. We assessed post-cessation weight change and its contribution to the obesity epidemic in a general population in Norway. A total of 14,453 participants (52.6% women), aged 25-54 years in 1994, who attended at least two of four surveys in the Tromsø Study between 1994 and 2016, were included in the analysis. Hereof 77% participated in both the first and the last survey. Temporal trends in mean body mass index (BMI), prevalence of obesity (BMI ≥ 30 kg/m²) and daily smoking were estimated with generalized estimation equations. We assessed BMI change by smoking status (ex-smoker, quitter, never smoker, daily smoker), and also under a scenario where none quit smoking. In total, the prevalence of daily smoking was reduced over the 21 years between Tromsø 4 (1994-1995) and Tromsø 7 (2015-2016) by 22 percentage points. Prevalence of obesity increased from 5 - 12% in 1994-1995 to 21-26% in 2015-2016, where obesity in the youngest (age 25-44 in 1994) increased more than in the oldest (p < 0.0001). Those who quit smoking had a larger BMI gain compared to the other three smoking subgroups over the 21 years (p < 0.0001). The scenario where none quit smoking would imply a 13% reduction in BMI gain in the population, though substantial age-related differences were noted. We conclude that smoking cessation contributed to the increase in obesity in the population, but was probably not the most important factor. Public health interventions should continue to target smoking cessation, and also target obesity prevention.

Effectiveness of the WeChat-based smoking cessation intervention ('WeChat WeQuit' program) in China: study protocol for a randomized controlled trial

BACKGROUND AND AIMS

Since its first release in 2011, WeChat (Chinese pinyin: Wei Xin) has been widely used to promote health. As the most popular all-in-one social media application providing free instant messaging, voice, text, pictures, videos and location information exchange via smartphone, WeChat holds promise for delivering smoking cessation services to a large number of people at low unit cost in China, a country with more than 300 million smokers. This protocol is for a study that aims to assess the efficacy of a WeChat-based smoking cessation intervention ('WeChat WeQuit') for treatment-seeking smokers in China.

DESIGN

In this two-arm randomized controlled trial (RCT), the control group will receive only a digital version of a booklet of 'Happy Quit'. The intervention group will also receive the 2 weeks pre- and 12 weeks post-quit 'WeChat WeQuit' intervention. Both groups will be followed-up to 26 weeks (6 months) after quit day.

SETTING

This on-line trial has no restrictions on setting or location.

PARTICIPANTS

Chinese-speaking current smokers (have smoked ≥100 cigarettes in their life-time and currently smoke cigarettes) aged 18+ years willing to make a quit attempt within 1 month (n = 2000) will be recruited by on- and off-line advertising. Potential participants will register their interest by sending WeChat messages or text messages, or making a voice call.

MEASUREMENTS

The primary outcome measure is self-reported 26-week continuous smoking abstinence with biological verification [test by clinic visit: expired carbon monoxide concentration <10 parts per million (p.p.m.) or by mailing cotinine urine dipsticks: urine cotinine <200 ng/ml]. Secondary outcome measures include: 7-day point prevalence abstinence at weeks 1, 4, 8, 12, 16, 20 and 26 after-quit day; self-reported 12-week continuous smoking abstinence and 26-week continuous smoking abstinence; reductions in number of cigarettes smoked per day; and rates of participation in and completion of the smoking-cessation program.

CONCLUSIONS

If the 'WeChat WeQuit' program is found to be effective, it will be an accessible, affordable and widely implementable intervention to help cigarette smokers to quit. The potential public health impact of its expansion into underserved regions or communities is considerable.

Weight Gain After Smoking Cessation and Lifestyle Strategies to Reduce it

BACKGROUND

Weight gain following smoking cessation reduces the incentive to quit, especially among women. Exercise and diet interventions may reduce postcessation weight gain, but their long-term effect has not been estimated in randomized trials.

METHODS

We estimated the long-term reduction in postcessation weight gain among women under smoking cessation alone or combined with (1) moderate-to-vigorous exercise (15, 30, 45, 60 minutes/day), and (2) exercise and diet modification (≤2 servings/week of unprocessed red meat; ≥5 servings/day of fruits and vegetables; minimal sugar-sweetened beverages, sweets and desserts, potato chips or fried potatoes, and processed red meat).

RESULTS

Among 10,087 eligible smokers in the Nurses' Health Study and 9,271 in the Nurses' Health Study II, the estimated 10-year mean weights under smoking cessation were 75.0 (95% CI = 74.7, 75.5) kg and 79.0 (78.2, 79.6) kg, respectively. Pooling both cohorts, the estimated postcessation mean weight gain was 4.9 (7.3, 2.6) kg lower under a hypothetical strategy of exercising at least 30 minutes/day and diet modification, and 5.9 (8.0, 3.8) kg lower under exercising at least 60 minutes/day and diet modification, compared with smoking cessation without exercising.

CONCLUSIONS

In this study, substantial weight gain occurred in women after smoking cessation, but we estimate that exercise and dietary modifications could have averted most of it.

Reasons for and Scenarios Associated with Failure to Cease Smoking: Results from a Qualitative Study Among Polish Smokers Who Had Unsuccessfully Attempted to Quit

PURPOSE

Most smokers attempt to quit smoking, but few are successful. Data regarding the reasons for this relapse and the course of the relapse process may be helpful for determining efficient methods of smoking cessation. This study aimed to identify the causes of and scenarios associated with smoking relapse after effective smoking cessation.

PATIENTS AND METHODS

We conducted 20 semi-structured interviews with smokers who had previously unsuccessfully attempted to quit. The data underwent qualitative content analysis.

RESULTS

Three major themes were identified: reasons for smoking relapse; smoking relapse scenarios; and perception of the influence of personal environments, including family and physicians, on refraining from smoking after cessation. The first theme comprised the following subthemes: insufficient willpower and self-discipline, contact with smokers, exposure to stressful situations, lack of family support, weight gain, and insufficient improvement in one's mental and physical well-being. The second theme contained enjoyable social events, professional life, critical events, and encouragement to smoke from family members. The respondents frequently emphasized the large role of interaction with other smokers.

CONCLUSION

The predominant factors underlying smoking relapse include insufficient willpower and self-discipline and exposure to stress. The most frequent relapse scenario concerned experiencing negative or positive emotions when interacting with other smokers.

Why young women gain weight: A narrative review of influencing factors and possible solutions

Significant weight gain occurs in women during young adulthood, which increases risk of diseases such as diabetes, cardiovascular disease, and many cancers. This review aims to inform future individually targeted weight gain prevention programmes and summarizes possible targets: key life events, mediators that influence energy intake and physical activity levels, and moderators that could identify groups of women at greatest risk. Life events affecting weight include pregnancy and motherhood, smoking cessation, marriage and cohabiting, attending university, and possibly bereavement. Research has identified successful methods for preventing weight gain associated with pregnancy and motherhood, which could now be used in practice, but evidence is inconclusive for preventing weight gain around other life events. Weight gain is mediated by lack of knowledge and skills around food and nutrition, depression, anxiety, stress, satiety, neural responses, and possibly sleep patterns and premenstrual cravings. A paucity of research exists into altering these to limit weight gain. Moderators include socioeconomic status, genetics, personality traits, and eating styles. More research is required to identify at-risk females and engage them in weight gain prevention. There is a need to address evidence gaps highlighted and implement what is currently known to develop effective strategies to limit weight gain in young women.

Nicotine Effects, Body Weight Concerns and Smoking: A Literature Review

How people become addicted to cigarette smoking and remain addicted despite repeated attempts to quit requires piecing together a rather complex puzzle. The present review contextualizes the role of nicotine and smoking sensory stimulation on maintaining smoking, describes nicotine's effects on feeding behavior and body weight, and explores the impact of smoking outcome expectancies, including the belief that nicotine suppresses appetite and body weight, on the decision to smoke or vape (use of e-cigarettes). The analysis concludes with a review of rat models of human nicotine intake that attempt to isolate the effects of nicotine on appetite and weight gain. Animal research replicates with relative closeness phenomena observed in smokers, but the rat model falls short of replicating the long-term weight gain observed post-smoking cessation.

Associations of tobacco smoking with body mass distribution; a population-based study of 65,875 men and women in midlife

BACKGROUND

Studies indicate an effect of smoking toward abdominal obesity, but few assess hip and waist circumferences (HC and WC) independently. The present study aimed to assess the associations of smoking status and volume smoked with HC and WC and their ratio in a population with low prevalence of obesity together with high prevalence of smoking.

METHODS

We used cross-sectional survey data from 11 of a total 19 Norwegian counties examined in 1997-99 including 65,875 men and women aged 39-44 years. Analysis of associations were adjusted for confounding by socioeconomic position, health indicators, and additionally for BMI.

RESULTS

Compared with never-smokers, when adjusting for confounders and in addition for BMI, mean HC remained lower while mean WC and waist-hip-ratio (WHR) were higher in current smokers. The finding of a lower HC and higher WHR level among smokers was consistent by sex and in strata by levels of education and physical activity, while the finding of higher WC by smoking was less consistent. Among current smokers, BMI-adjusted mean HC decreased whereas WC and WHR increased by volume smoked. Compared with current smokers, former smokers had higher BMI-adjusted HC, lower WHR and among women WC was lower.

CONCLUSIONS

The main finding in this study was the consistent negative associations of smoking with HC. In line with the hypothesis that lower percentage gluteofemoral fat is linked with higher cardiovascular risk, our results suggest that smoking impacts cardiovascular risk through mechanisms that reduce the capacity of fat storage in the lower body region.

Tobacco Smoking, Eating Behaviors, and Body Weight: A Review

Purpose of review

This narrative review provides an overview of the relationships among tobacco smoking, eating behaviors, and body weight. The aims are to (1) examine the concurrent and longitudinal associations between tobacco smoking and body weight, (2) describe potential mechanisms underlying the relationships between smoking and body weight, with a focus on mechanisms related to eating behaviors and appetite, and (3) discuss management of concomitant tobacco smoking and obesity.

Recent findings

Adolescents who smoke tobacco tend to have body mass indexes (BMI) the same as or higher than nonsmokers. However, adult tobacco smokers tend to have lower BMIs and unhealthier diets relative to nonsmokers. Smoking cessation is associated with a mean body weight gain of 4.67 kg after 12 months of abstinence, though there is substantial variability. An emerging literature suggests that metabolic factors known to regulate food intake (e.g., ghrelin, leptin) may also play an important role in smoking-related behaviors. While the neural mechanisms underlying tobacco smoking-induced weight gain remain unclear, brain imaging studies indicate that smoking and eating cues overlap in several brain regions associated with learning, memory, motivation and reward. Behavioral and pharmacological treatments have shown short-term effects in limiting post-cessation weight gain; however, their longer-term efficacy is limited.

Summary

Further studies are needed to identify the exact mechanisms underlying smoking, eating behaviors, and body weight. Moreover, effective treatment options are needed to prevent long-term weight gain during smoking abstinence.

Analysis of Gender Differences in the Impact of Taxation and Taxation Structure on Cigarette Consumption in 17 ITC Countries

Although increasing taxes has been established as the most effective tobacco control policy, it is not clear whether these policies reduce cigarette consumption equally among women and men. In this study, we examine whether the association between taxation/taxation structure and cigarette consumption differs by gender. The data is from the International Tobacco Control Policy Evaluation (ITC) Projects in 17 countries. Cigarette consumption was measured by gender for each ITC country. Generalized estimating equations (GEE) were employed to investigate gender differences in the association between cigarette consumption and tax structures, while controlling for time-variant demographic characteristics such as unemployment rates, proportions of adults, and percent of female population. Tiered tax structures are associated with higher cigarette consumption among both males and females. Female smokers are more responsive to an average tax increase than male smokers. Among males, higher ad valorem share in excise taxes is associated with lower cigarette consumption, but it is not the case for females. Females may not be as responsive to the prices raised by ad valorem taxes, despite being responsive to average taxes, suggesting that smokers by gender may face different prices.

Does everyone who quit smoking gain weight? A real-world prospective cohort study

Objective:

To evaluate weight changes after 12 months of biochemically confirmed smoking abstinence, comparing patients who lost weight or maintained their baseline weight with those who gained weight.

Methods:

This was a real-world prospective cohort study conducted at the Outpatient Smoking Cessation Clinic of São Lucas Hospital, in the city of Porto Alegre, Brazil, between 2010 and 2016. The patients evaluated received intensive smoking cessation counseling, focused especially on weight issues, together with pharmacotherapy, and were followed for 12 months. The baseline and final weights were measured. Continuous abstinence was confirmed by determining the concentration of exhaled carbon monoxide (eCO).

Results:

Of a total of 348 patients evaluated, 161 (46.2%) achieved continuous abstinence (eCO < 10 ppm) over the 12-month follow-up period. Of those 161 patients, 104 (64.6%) maintained their initial weight or had a weight change of no more than 5% in relation to their baseline weight, whereas the remaining 57 (35.4%) had a weight gain of more than 5%, 18 of those patients showing a > 10% increase over their baseline weight. The number needed to harm (i.e., the number of patients required in order to detect one patient with a weight increase) was calculated to be 3.6 (95% CI: 2.8-5.4).

Conclusions:

Weight gain is not necessarily associated with smoking cessation, and smokers who are motivated to quit should be informed of that fact. This information could also be useful for addressing smokers who are still undecided because of possibility of weight gain.

A Confirmatory Factor Analysis of the Smoking and Weight Eating Episodes Test (SWEET)

INTRODUCTION

The Smoking and Weight Eating Episodes Test (SWEET; Adams et al. 2011) is a self-report measure designed to assess multiple reasons why and when smokers use cigarettes for appetite, weight, and shape management, that was initially developed and validated in young female smokers.

PURPOSE

The aim of the current study was to evaluate the factor structure and psychometric properties of the SWEET measure among both male and female daily cigarette smokers.

METHOD

Participants (n = 577; M_age = 44.42; SD = 13.80; 52.7% female) were daily smokers recruited through Qualtrics Online Sample for an anonymous study on smoking and health. On average, participants reported smoking for 25.7 years (SD = 14.35), smoked 17.0 cigarettes per day (SD = 8.38), and had moderate levels of tobacco dependence.

RESULTS

Confirmatory factor analyses supported the initial factor structure found in the original SWEET measure suggesting a four-factor structure fit the data well, but not a one-factor structure. Factors included using cigarettes for appetite suppression, using cigarettes to prevent overeating, smoking to cope with body dissatisfaction, and using cigarettes to cope with appetite-related withdrawal symptoms. Tests of measurement invariance revealed no significant differences when evaluating SWEET scores by participant sex. The SWEET factor scores evidenced internal consistency, known groups validity, convergent validity with related constructs (compensatory eating behaviors, tobacco dependence) and cessation-relevant variables (smoking abstinence expectancies, prior withdrawal symptoms), and discriminant validity with physical activity and sedentary behavior.

CONCLUSIONS

The present study provides evidence in support of the validity and reliability of scores on the SWEET as a multidimensional measure of smoking for appetite, weight, and body-related concerns in male and female daily cigarette smokers.

Weight concerns as a predictor of smoking cessation according to nicotine dependence: A population-based study

Background:

Nicotine-dependent smokers find it difficult to quit smoking. Additionally, smoking-specific weight concerns may affect smoking cessation although the evidence is controversial. We investigated whether smoking-specific weight concerns predict the probability of cessation and, if so, whether the effect varies according to the level of nicotine dependence.

Methods:

The study was conducted with a population-based sample of 355 adult daily smokers who participated in the baseline examination in 2007 and in the 2014 follow-up. Baseline nicotine dependence was classified as low or high (Fagerström Test for Nicotine Dependence; 0–3 vs. 4–10 points). Within these groups, we examined whether baseline weight concerns predict smoking status (daily, occasional, ex-smoker) at follow-up by using multinomial logistic regression with adjustment for multiple covariates.

Results:

Among low-dependent participants at baseline, 28.5% had quit smoking, while among highly dependent participants 26.1% had quit smoking. The interaction between weight concerns and nicotine dependence on follow-up smoking status was significant. Among participants with low nicotine dependence per the fully adjusted model, greater weight concerns predicted a lower likelihood of both smoking cessation (relative risk ratio 0.93 [95% CI 0.87–1.00]) and smoking reduction to occasional occurrence (0.89 [95% CI 0.81–0.98]). Weight concerns were not associated with follow-up smoking status among participants with high nicotine dependence.

Conclusions:

Weight concerns are associated with a smaller likelihood of quitting among smokers with low nicotine dependence. Weight concerns should be addressed in smoking cessation interventions, especially with smokers who have low nicotine dependence.

The Impact of Weight and Weight-Related Perceptions on Smoking Status Among Young Adults in a Text-Messaging Cessation Program

Introduction

Weight gain and concerns about weight can influence a smoker's ability to successfully quit, and young adults are a subgroup of smokers who are particularly concerned about the impact of quitting on their body weight. This study explored the associations between body mass index, weight perceptions, and smoking status among young adults.

Methods

The sample consisted of 4027 young adults between the ages of 18 and 29 who participated in a randomized control trial of the National Cancer Institute's SmokefreeTXT program. Multivariable logistic regression models were used to examine the associations between weight related variables and smoking status.

Results

Obese participants had a 0.72 lower odds (95% CI: 0.62, 0.85) of reporting smoking at the end of the program than participants of normal weight, and this difference persisted over time. Weight perceptions were also associated with smoking status. Those who perceived themselves to be slightly underweight/underweight were more likely to report smoking than those who reported being just about the right weight (OR: 1.53, 95% CI: 1.20, 1.95), and those who strongly disagreed that smoking cigarettes helps people keep their weight down were less likely to report smoking at the end of treatment than those who neither agreed nor disagreed with this statement (OR: 0.69, 95% CI: 0.54, 0.87).

Conclusions

Weight related factors assessed at baseline predicted smoking status at the end of treatment and through long term follow-up. Smoking cessation programs that tailor content to addresses the specific needs of weight concerned smokers may enhance effectiveness.

Implications

This study explores the association between weight related factors and smoking status among young adults, a priority population for smoking cessation efforts. This study demonstrates that both actual weight and weight perceptions (eg, perception of body weight, perception of associations between smoking and weight) are associated with smoking outcomes, and thus need to be a considered in the development of smoking cessation programs.

Stress and Addiction: When a Robust Stress Response Indicates Resiliency

OBJECTIVE

Stress reactivity research has traditionally focused on the idea that exaggerated responses to stress may have adverse effects on health. Accumulating evidence suggests that attenuated responses to stress and delayed recovery may also be problematic.

METHODS

This review focuses on the role of the stress response of the hypothalamic-pituitary-adrenocortical axis, the endogenous opioid system, and the cardiovascular system in hypertension, pain perception, and addictive behaviors. Results from multiple methods of assessment and stress paradigms conducted in our laboratory over the past two decades are integrated with research from other investigators and with existing theories.

RESULTS

Research indicates that exaggerated biological and physiological responses to stress and attenuated pain perception are associated with hypertension and risk for cardiovascular diseases. This research complements work linking reduced stress responses with enhanced pain sensitivity and discomfort. Multiple studies have also demonstrated that an attenuated stress response is linked to exacerbation of withdrawal symptoms and relapse in nicotine addiction. Evidence indicates important moderators (i.e., sex, personality traits, and early life adversity) and hypothalamic-pituitary-adrenocortical- and endogenous opioid system-related mechanisms in the altered response to stress. I integrate these findings in a conceptual model emphasizing that robust stress responses in the context of addiction and relapse should be considered as a marker of resiliency.

CONCLUSIONS

A blunted stress response may indicate long-term physiological dysregulation that could usher harmful consequences for cardiovascular disease, pain perception, and addictive disorders. The impact of dysregulation is influenced by multiple individual and situational factors that should be considered in evaluating the clinical significance of stress response dysregulation.

Gender Differences in U.S. Adolescent E-Cigarette Use

Purpose of Review

This study aims to review the recent (2012-2017) available gender difference data on e-cigarette use among adolescents.

Recent Findings

E-cigarettes are the most commonly used tobacco product among adolescents, and recent study findings showed that e-cigarette use can lead to cigarette smoking. However, gender differences in e-cigarette use among adolescents are relatively unknown.

Summary

We used the search terms "adolescents" and "e-cigarettes" on PubMed and identified 652 articles. Of these, 16 articles (2.5%) examined gender differences in adolescent e-cigarette use. Boys appear to have greater use of e-cigarettes, but girls may be at increased risk if e-cigarettes are targeted to them, as it has been for cigarettes. Data on gender differences are limited, and future research should continue to examine gender differences in e-cigarette use. Trends in use rates could evolve with new regulations and innovations in e-cigarette marketing and product features.

Smokers report lower intake of key nutrients than nonsmokers, yet both fall short of meeting recommended intakes

Smoking is a major risk factor in the development of preventable disease which may be due to a poorer diet and the reduced nutrient intake of smokers. Our objective was to compare and evaluate the reported intake of current smokers with that of nonsmokers among participants of a study evaluating stress and smoking. We hypothesized (1) that overall energy and nutrient intake would be reduced in smokers compared with nonsmokers and (2) that smokers would have increased noncompliance with Dietary Reference Intakes (DRIs). Men and women (smokers n=138, nonsmokers n=46) completed a 3-day diet record at baseline. Mean energy and nutrient intakes were stratified by smoking status and compared with DRI levels. The mean body mass index was 28.3±0.5kg/m2 for smokers and 27.2±1.0kg/m2 for nonsmokers. Compared with nonsmokers, the smokers reported lower intakes of energy, total polyunsaturated fatty acids, linolenic acid, docosahexaenoic acid, total sugars, calcium, iron, magnesium, phosphorus, potassium, vitamin C, riboflavin, niacin, pantothenic acid, vitamin B6, folate, vitamin A, and vitamin E. Smokers reported reduced compliance with the DRIs for iron, phosphorus, vitamin C, riboflavin, and folate compared with nonsmokers. Unlike other evaluations of smokers vs nonsmokers, we observed no difference in body weight between groups. Smokers and nonsmokers alike reported dietary intakes lower than the DRIs for many nutrients. However, the reported nutrient intake of the smokers was substantially lower than nonsmokers for key nutrients, and they were more likely to not comply with the DRIs for essential nutrients, placing them at increased risk of chronic disease.

Evaluation of a web-based cognitive behavioral smoking cessation treatment for overweight/obese smokers

This pilot study tested the efficacy of an Internet-administered smoking cessation treatment for overweight/obese smokers. Participants were 54 community volunteers with overweight/obesity who were regular smokers. Treatment consisted of 12 weeks of nicotine replacement therapy and randomization to Internet-administered cognitive behavioral treatment or health education. In-person assessments of key outcomes occurred at baseline, post-treatment, and at 24-week follow-up. Cessation rates did not differ across the two treatments (25.9% vs 18.5%). Participants receiving cognitive behavioral treatment gained less weight when abstinent than those receiving the standard treatment. Larger studies are needed to replicate these findings.

Distress Tolerance Treatment for Weight Concern in Smoking Cessation Among Women: The WE QUIT Pilot Study

Fear of gaining weight after quitting cigarette smoking is a major barrier to smoking cessation among women. Distress tolerance, which refers to one's ability and willingness to tolerate physical and emotional discomfort, predicts successful behavior change. Novel interventions rooted in Acceptance and Commitment Therapy (ACT) have emerged that aim to increase distress tolerance and engagement in values-oriented behavior. In this study, we developed a 9-week, group-based distress tolerance intervention for weight concern in smoking cessation among women (DT-W). Using an iterative process, we piloted DT-W with two small groups ( n = 4 and n = 7) of female weight-concerned smokers. Results indicated that we successfully established the feasibility and acceptability of DT-W, which was well-attended and well-received. Biochemically verified 7-day point-prevalence abstinence rates at post-intervention, 1, 3, and 6 months were 64%, 36%, 27%, and 27%, respectively. We are now evaluating DT-W in a randomized controlled trial.

Cessation-related weight concern among homeless male and female smokers

Concern about post-cessation weight gain is a barrier to making attempts to quit smoking; however, its effect on smoking cessation is unclear. In this study we examine cessation-related weight concern among the homeless, which hasn't been studied.

Homeless males (n = 320) and females (n = 110) participating in a smoking cessation RCT in the Twin Cities, Minnesota from 2009 to 2011 completed surveys on cessation-related weight concern, smoking status, and components from the Behavioral Model for Vulnerable Populations. Generalized estimating equations were used to examine baseline predictors of cessation-related weight concern at baseline, the end of treatment, and 26-weeks follow-up. Logistic regression models were used to examine the relationship between cessation-related weight concern and smoking status at the end of treatment and follow-up.

Females had higher cessation-related weight concern than males. Among males, older age, Black race, higher BMI, depression, and having health insurance were associated with higher cessation-related weight concern. Among females, nicotine dependence, greater cigarette consumption, indicating quitting is more important, older age of smoking initiation, and less support to quit from family were associated with higher cessation-related weight concern. In multivariate analyses, cessation-related weight concern decreased over time among females. Cessation-related weight concern wasn't associated with smoking cessation.

Although several types of characteristics predicted cessation-related weight concern among males, only smoking characteristics predicted cessation-related weight concern among females. Given the small proportion of quitters in this study (8% of males and 5% of females), further research on the impact of cessation-related weight concern on smoking cessation among the homeless is warranted.

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Concern about post-quitting weight gain is higher among homeless females than males.

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In multivariate analyses, weight concern decreased over time among homeless females.

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Several types of variables predicted weight concern among homeless males.

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Only smoking characteristics predicted weight concern among homeless females.

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Weight concern was not associated with smoking cessation among the homeless.

Development of a Multi-Behavioral mHealth App for Women Smokers

This article describes the development of the See Me Smoke-Free™ (SMSF) mobile health application, which uses guided imagery to support women in smoking cessation, eating a healthy diet, and increasing physical activity. Focus group discussions, with member checks, were conducted to refine the intervention content and app user interface. Data related to the context of app deployment were collected via user testing sessions and internal quality control testing, which identified and addressed functionality issues, content problems, and bugs. Interactive app features include playback of guided imagery audio files, notification pop-ups, award-sharing on social media, a tracking calendar, content resources, and direct call to the local tobacco quitline. Focus groups helped design the user interface and identified several themes for incorporation into app content, including positivity, the rewards of smoking cessation, and the integrated benefits of maintaining a healthy lifestyle. User testing improved app functionality and usability on many Android phone models. Changes to the app content and function were made iteratively by the development team as a result of focus group and user testing. Despite extensive internal and user testing, unanticipated data collection and reporting issues emerged during deployment due not only to the variety of Android software and hardware but also to individual phone settings and use.

Examining the effects of cigarette smoking on food cravings and intake, depressive symptoms, and stress

PURPOSE

This study examined the relationships among smoking status and total and specific types of food cravings (i.e., high-fats, sweets, fast-food fats, and complex carbohydrates/starches) and the influence of demographic, clinical, and psychological factors on this relationship.

METHODS

Seven-hundred and twelve adults completed measures of food cravings, dietary intake, and smoking history. Heights and weights were measured. Data were analyzed using univariate and multivariate analyses while adjusting for demographic, clinical, and psychological covariates.

RESULTS

Compared to never smokers, current smokers reported more frequent cravings for high-fat foods and fast-food fats, after controlling for depression, stress, BMI and demographic factors. Current smokers also reported consuming more high-fat foods and fast-food fats. The association between cigarette smoking and total food craving was no longer significant after accounting for depression and stress, suggesting that depression and stress may account for the relationship between smoking and total food craving. Smoking did not moderate the relationship between food cravings and food intake. Nicotine dependence was positively correlated with the frequency of general food cravings and cravings for high fats, sweets, and carbohydrates/starches.

CONCLUSIONS

Cigarette smokers, and especially those with higher nicotine dependence, may have greater difficulties in addressing food craving and changing eating habits, particularly in the context of depression and stress.

Association of Weight Perception, Race and Readiness to Quit Smoking amongst a Cohort of Workers

Introduction: Weight concerns may inhibit smoking quit attempts and may be more influential amongst African-Americans who are more likely to be overweight.

Aims: To assess if weight perception is associated with readiness to quit and whether this relationship is modified by race.

Methods: We used data from a cohort of current smokers undergoing routine health examinations. Based on differences between ideal and measured BMI, participants’ weight perceptions were classified as within, somewhat above, or far above ideal weight. Logistic regression analysis was used to evaluate adjusted associations of weight perception and race with readiness to quit.

Results: Of 2,831 current smokers, 23% were obese and 38% overweight. Amongst white smokers, those who perceived being far above ideal weight were more likely to be ready to quit (OR: 1.45, 95% CI: 1.03–2.03), but this association was not observed for African-American smokers who perceived themselves to be somewhat or far above their ideal weight (OR: 0.35, 95% CI: 0.10–1.24 and OR: 0.36, 95% CI: 0.11–1.19, respectively).

Conclusions: Perception of being overweight is associated with increased readiness to quit amongst white but not African-American smokers. Smoking cessation programmes may need to culturally tailor interventions based on smokers’ weight perceptions.

Leptin and calorie intake among different nicotine dependent groups

BACKGROUND

Exposure to nicotine via tobacco smoking may influence leptin release and decrease food intake among smokers. However, the effect of nicotine exposure on leptin and food intake among different nicotine dependent groups is unclear.

OBJECTIVE

We aimed to measure leptin and calorie intake among different nicotine dependent groups.

DESIGN

Cross-sectional study.

SETTING

Research department in school of medical sciences.

PATIENTS AND METHODS

Subjects were selected by purposive (non-probability) sampling and categorized as having low, moderate and high nicotine dependency based on the Fagerstrom Test for Nicotine Dependence (FTND) score. Diet was recorded by interview. Anthropometry, blood pressure, body composition, lipid profile, and physical activity level were measured accordingly. Fasting serum leptin was measured using a commercial ELISA kit.

MAIN OUTCOME MEASURE(S)

Nicotine dependency, 24-hour diet, clinical anthropometric and clinical measurements.

RESULTS

In 107 Malay male smokers leptin concentration was inversely correlated with nicotine dependence. However, body weight, smoking period, blood pressure, body composition, lipid profile and physical activity level were not significantly different among low, moderately and highly dependent smoking groups. Leptin concentration and total calorie intake were also not significantly different among these groups.

CONCLUSION

Leptin concentration was inversely correlated with nicotine dependence, but leptin concentration and total calorie intake status were not significantly different among our different nicotine dependency subjects.

LIMITATIONS

Purposive sampling for subject recruitment and inaccurate information in the self-administered questionnaire.

Smoking cessation and long-term weight gain in the Framingham Heart Study: an application of the parametric g-formula for a continuous outcome

Weight gain after smoking cessation can lessen the health benefits of, and reduce the incentives for, quitting smoking. Randomized clinical trials of smoking cessation have estimated this weight gain only over short periods of follow-up. We provide an estimate of long-term post-cessation weight gain in the Framingham Heart Study, a prospective observational study. We identified 2001 smokers free of diabetes, cancer, and cardiovascular disease in 1952. Using the parametric g-formula we estimated mean weight in 1972 if all smokers had quit at baseline versus if all had continued smoking. Our estimates were adjusted for demographic, socio-economic, and clinical factors at baseline and during follow-up. The estimated mean weight (95 % CI) at 20 years if all smokers had quit smoking was 75.2 kg (73.5, 76.6), compared with 70.2 kg (68.7, 71.8) if they had smoked 20 cigarettes/day and 73.4 kg (71.9, 74.6) if they had smoked 5 cigarettes/day (i.e., an estimated mean weight gain of 5.1 kg (3.1, 6.6) and 1.8 kg (0.8, 2.8), respectively). Smokers who were overweight or obese at baseline had a greater post-cessation weight gain on average. Our estimates suggest that smoking cessation can result in increases in body weight over 20 years. While the benefits of smoking cessation outweigh the risks due to post-cessation weight gain, our results highlight the need for long-term weight management interventions in combination with smoking cessation.

Evaluation of eating habits and lifestyle in patients with obesity before and after bariatric surgery: a single Italian center experience

BACKGROUND

The study evaluated and compared the eating habits and lifestyle of patients with moderate to severe obesity who have undergone Roux-en-Y Gastric Bypass (RYGB) and Sleeve Gastrectomy (SG).

METHODS

Food frequency (FF), food habits (FH), physical activity and life style (PA) as well as smoking habits (SH) were analyzed in 50 RYGB (25 M; aged: 24-64) and 50 SG patients (25 M; aged: 22-63) by means of a validated questionnaire, before (T0) and 6 months (T1) post bariatric surgery. A score for each section (FF, FH, PA, SH) was calculated.

RESULTS

ANOVA analysis (age/sex adjusted): FF and FH scores improved at T1 (RYGB and SG: p < 0.001); PA score improved but not significantly; SH score did not change at T1 neither in RYGB nor in SG. Mixed models: FF and PA scores did not correlate with age, gender, weight, BMI, neither in RYGB nor in SG; FH score was negatively correlated both with weight (RYGB: p = 0.002) and BMI (SG: p = 0.003); SH score was positively correlated with age, in SG (p = 0.002); the correlation was stronger in females than in males (p = 0.004).

CONCLUSIONS

Although dietary habits improved, patients did not change their physical activity level or their smoking habits. Patients should receive adequate lifestyle counseling to ensure the maximal benefit from bariatric surgery.

Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century

BACKGROUND

What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC.

OBJECTIVE

The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion.

METHODS

We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results.

RESULTS

We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems.

CONCLUSIONS

We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems.

See Me Smoke-Free: Protocol for a Research Study to Develop and Test the Feasibility of an mHealth App for Women to Address Smoking, Diet, and Physical Activity

BACKGROUND

This paper presents the protocol for an ongoing research study to develop and test the feasibility of a multi-behavioral mHealth app. Approximately 27 million women smoke in the US, and more than 180,000 women die of illnesses linked to smoking annually. Women report greater difficulties quitting smoking. Concerns about weight gain, negative body image, and low self-efficacy may be key factors affecting smoking cessation among women. Recent studies suggest that a multi-behavioral approach, including diet and physical activity, may be more effective at helping women quit. Guided imagery has been successfully used to address body image concerns and self-efficacy in our 3 target behaviors-exercise, diet and smoking cessation. However, it has not been used simultaneously for smoking, diet, and exercise behavior in a single intervention. While imagery is an effective therapeutic tool for behavior change, the mode of delivery has generally been in person, which limits reach. mHealth apps delivered via smart phones offer a unique channel through which to distribute imagery-based interventions.

OBJECTIVE

The objective of our study is to evaluate the feasibility of an mHealth app for women designed to simultaneously address smoking, diet, and physical activity behaviors. The objectives are supported by three specific aims: (1) develop guided imagery content, user interface, and resources to reduce weight concern, and increase body image and self-efficacy for behavior change among women smokers, (2) program a prototype of the app that contains all the necessary elements of text, graphics, multimedia and interactive features, and (3) evaluate the feasibility, acceptability, and preliminary efficacy of the app with women smokers.

METHODS

We created the program content and designed the prototype application for use on the Android platform in collaboration with 9 participants in multiple focus groups and in-depth interviews. We programmed and tested the application's usability with 6 participants in preparation for an open, pre- and posttest trial. Currently, we are testing the feasibility and acceptability of the application, evaluating the relationship of program use to tobacco cessation, dietary behaviors, and physical activity, and assessing consumer satisfaction with approximately 70 women smokers with Android-based smart phones.

RESULTS

The study was started January 1, 2014. The app was launched and feasibility testing began in April 1, 2015. Participants were enrolled from April 1-June 30, 2015. During that time, the app was downloaded over 350 times using no paid advertising. Participants were required to use the app "most days" for 30 days or they would be dropped from the study. We enrolled 151 participants. Of those, 78 were dropped or withdrew from the study, leaving 73 participants. We have completed the 30-day assessment, with a 92% response rate. The 90-day assessment is ongoing. During the final phase of the study, we will be conducting data analyses and disseminating study findings via presentations and publications. Feasibility will be demonstrated by successful participant retention and a high level of app use. We will examine individual metrics (eg, duration of use, number of screens viewed, change in usage patterns over time) and engagement with interactive activities (eg, activity tracking).

CONCLUSIONS

We will aggregate these data into composite exposure scores that combine number of visits and overall duration to calculate correlations between outcome and measures of program exposure and engagement. Finally, we will compare app use between participants and non-participants using Google Analytics.

The association between quitting smoking and weight gain: a systematic review and meta-analysis of prospective cohort studies

This systematic review and meta-analysis aimed to quantify weight gain after smoking cessation and the difference in weight gain between quitters and continuing smokers. Five electronic databases were searched before January 2015. Population-based prospective cohort studies were included if they recorded the weight change of adult smokers from baseline (before smoking cessation) to follow-up (at least 3 months after cessation). Thirty-five cohort studies were identified, including 63,403 quitters and 388,432 continuing smokers. The mean weight gain was 4.10 kg (95% confidence interval [CI]: 2.69, 5.51) and body mass index (BMI) gain was 1.14 kg m(-2) (95% CI: 0.50, 1.79) among quitters. Compared with continuing smoking, quitting smoking was significantly associated with absolute weight (adjusted mean difference [MD]: 2.61 kg; 95% CI: 1.61, 3.60) and BMI gain (adjusted MD: 0.63 kg m(-2) ; 95% CI: 0.46, 0.80). Subgroup analyses using geographic region found that the difference in weight gain was considerably greater in studies from North America than from Asia. Follow-up length was identified as a source of heterogeneity, such that studies with longer follow-up showed greater difference in weight gain. Effective strategies are needed to encourage smokers to quit irrespective of potential weight gain and to help quitters avoid excess weight gain.

Smoking is associated with more abdominal fat in morbidly obese patients

INTRODUCTION

While the association between cigarette smoking and abdominal fat has been well studied in normal and overweight patients, data regarding the influence of tobacco use in patients with morbid obesity remain scarce. The aim of this study is to evaluate body fat distribution in morbidly obese smokers.

METHODS

We employed a cross-sectional study and grouped severely obese patients (body mass index [BMI] >40 kg/m2 or >35 kg/m2 with comorbidities) according to their smoking habits (smokers or non-smokers). We next compared the anthropometrical measurements and body composition data (measured by electric bioimpedance) of both groups. We analyzed the effect of smoking on body composition variables using univariate and multiple linear regression (MLR); differences are presented as regression coefficients (b) and their respective 95% confidence intervals.

RESULTS

We included 536 morbidly obese individuals, 453 (84.5%) non-smokers and 83 (15.5%) smokers. Male smokers had a higher BMI (b=3.28 kg/m2, p=0.036), larger waist circumference (b=6.07 cm, p=0.041) and higher percentage of body fat (b=2.33%, p=0.050) than non-smokers. These differences remained significant even after controlling for confounding factors. For females, the only significant finding in MLR was a greater muscle mass among smokers (b=1.34kg, p=0.028). No associations were found between tobacco load measured in pack-years and anthropometric measures or body composition.

DISCUSSION

Positive associations between smoking and BMI, and waist circumference and percentage of body fat, were found among male morbidly obese patients, but not among females. To the best of our knowledge, this study is the first investigation of these aspects in morbidly obese subjects. We speculate that our findings may indicate that the coexistence of morbid obesity and smoking helps to explain the more serious medical conditions, particularly cardiovascular diseases and neoplasms, seen in these patients.

Weight control belief and its impact on the effectiveness of tobacco control policies on quit attempts: findings from the ITC 4 Country Survey

BACKGROUND

Weight concerns are widely documented as one of the major barriers for girls and young adult women to quit smoking. Therefore, it is important to investigate whether smokers who have weight concerns respond to tobacco control policies differently than smokers who do not in terms of quit attempts, and how this difference varies by gender and country.

OBJECTIVE

This study aims to investigate, by gender and country, whether smokers who believe that smoking helps control weight are less responsive to tobacco control policies with regards to quit attempts than those who do not.

METHODS

We use longitudinal data from the International Tobacco Control Policy Evaluation Project in the USA, Canada, the UK and Australia to conduct the analysis. We first constructed a dichotomous indicator for smokers who have the weight control belief and then examined the disparity in policy responsiveness in terms of quit attempts by directly estimating the interaction terms of policies and the weight control belief indicator using generalised estimating equations.

FINDINGS

We find that weight control belief significantly attenuates the policy impact of tobacco control measures on quit attempts among US female smokers and among UK smokers. This pattern was not found among smokers in Canada and Australia.

CONCLUSIONS

Although our results vary by gender and country, the findings suggest that weight concerns do alter policy responsiveness in quit attempts in certain populations. Policy makers should take this into account and alleviate weight concerns to enhance the effectiveness of existing tobacco control policies on promoting quitting smoking.

General and smoking cessation weight concern in a Hispanic sample of light and intermittent smokers

This study assessed general and cessation related weight concerns in a Hispanic sample of light (≤10 cigarettes per day) and intermittent (non-daily smoking) smokers (LITS) participating in a brief smoking cessation intervention. Three hundred and fifty-four Hispanic LITS (Mage=34.2, SD=14; 51.1% male; 57.9% Mexican American; 59.0% daily light, 41.0% intermittent) completed baseline measures assessing demographics, tobacco use/history, stage of change (SOC), general weight concern, and cessation related weight concern. Three multiple logistic regression models examined potential predictors (i.e., age, gender, SOC, cigarettes per month, smoking status [daily vs non-daily], weight, cessation related weight concern, general weight concern) of general weight concern, cessation related weight concern, and past 30day abstinence (controlling for the intervention). Study results indicated that a majority of participants reported general weight concern (59.6%), and slightly more than a third (35.6%) reported post cessation weight gain concern (mean and median weight tolerated before relapse were within the 10-12lb range). Lower weight and endorsing general weight concern were associated with cessation related weight concern. Female gender, higher weight, and endorsing cessation related weight concern were associated with general weight concern. Monthly cigarette use was associated with smoking cessation at the three-month follow-up. The results indicate a substantial prevalence of general weight concern and non-trivial rates of cessation related weight concern in Hispanic LITS attempting to quit, and greater success in quitting among those who reported lower rates of cigarettes smoked per month.

Socioeconomic Status, Smoking, Alcohol use, Physical Activity, and Dietary Behavior as Determinants of Obesity and Body Mass Index in the United States: Findings from the National Health Interview Survey

OBJECTIVES

The aim of this research was to study the socio-demographic and behavioral determinants of obesity and Body Mass Index (BMI) in the United States, using a nationally representative sample.

METHODS

We used data from the 2010 US National Health Interview Survey. Analyses were limited to adults 18 years and older (N=23,434). Multivariate regression analyses were conducted to estimate the associations between covariates and obesity and BMI.

RESULTS

Overall, 28.1% in the sample were obese and the mean BMI was 27.6 kg/m(2). In adjusted models, we found that older age, non-Hispanic Black race, lower education and income levels, Midwestern and Southern region of residence, former smoking, infrequent alcohol use, physical inactivity, consumption of less fruits, vegetables, brown rice and more cheese, fried potato and meat, were associated with obesity. These factors were also associated with higher BMI, along with male gender and higher consumption of meat, fried potatoes and cheese.

CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS

The association of many of the socio-demographic and behavioral factors with obesity and higher BMI found in our study was consistent with previous findings. Persistence of such associations suggest a need for better understanding of the underlying mechanism as well as for evaluation of the current programs and policies targeted at reducing the obesity burden in the United States. In view of the rising global obesity epidemic, especially in the low- and middle-income countries, our findings could help guide development of effective health and social policies and programs aimed at reducing the obesity burden in other parts of the world.

Associations of Weight Concerns With Self-Efficacy and Motivation to Quit Smoking: A Population-Based Study Among Finnish Daily Smokers

INTRODUCTION

Concerns about weight gain occurring after smoking cessation may affect motivation and self-efficacy towards quitting smoking. We examined associations of smoking-specific weight concerns with smoking cessation motivation and self-efficacy in a population-based cross-sectional sample of daily smokers.

METHODS

Six-hundred biochemically verified (blood cotinine) current daily smokers comprising 318 men and 282 women aged 25-74 years, were studied as part of the National FINRISK (Finnish Population Survey on Risk Factors on Chronic, Noncommunicable Diseases) study and its DIetary, Lifestyle and Genetic factors in the development of Obesity and Metabolic syndrome (DILGOM) sub-study that was conducted in Finland in 2007. Self-reported scales were used to assess weight concerns, motivation and self-efficacy regarding the cessation of smoking. Multiple regression analyses of concerns about weight in relation to motivation and self-efficacy were conducted with adjustments for sex, age (years), body mass index (BMI, [kg/m(2)]), physical activity (times per week), and further controlled for nicotine dependence (Fagerström Test for Nicotine Dependence).

RESULTS

Higher levels of weight concerns were associated with lower self-efficacy (β = -0.07, p < .001) after adjusting for sex and age. The association remained after additional adjustment for BMI and physical activity (β = -0.07, p < .001). After further controlling for nicotine dependence the association became weaker but remained significant (β = -0.04, p = .02). There were no statistically significant associations between concerns about weight and motivation for smoking cessation (β = 0.02, p = 0.16).

CONCLUSIONS

These cross-sectional population-based data do not support earlier findings that suggest that smokers with high levels of weight concerns are less motivated to quit smoking. Our data suggest that daily smokers who are highly concerned about weight may have lower self-efficacy for cessation of smoking.

Change in Body Weight Does Not Mediate the Relationship Between Exercise and Smoking Cessation Among Weight-Concerned Women Smokers

INTRODUCTION

Exercise has received attention as a method to prevent or reduce postcessation weight gain. However, little is known about how weight changes following quit attempts contribute to the relationship between exercise and smoking cessation. The present study assessed how exercise relates to cessation and whether initial changes in exercise after quitting smoking promote cessation through attenuated weight gain.

METHODS

Weight-concerned women smokers (N = 342) receiving cessation treatment provided biochemical validation of cessation, reported weekly exercise activities, and were weighed at 1, 3, and 6 months following treatment initiation. Survival analyses were used to determine time to and risk of relapse among women who reported engaging in varied levels of exercise at baseline. A mediation analysis was used to examine whether the effect of initial changes in exercise on longer-term cessation was driven by change in weight. All analyses were adjusted for relevant covariates.

RESULTS

Women smokers who reported high levels of exercise at baseline were less likely to relapse and returned to smoking more gradually than did women who reported low levels of exercise. Change in weight did not mediate the relationship between exercise and cessation.

CONCLUSIONS

Cessation interventions utilizing an exercise component may have to develop exercise regimens of either higher duration or greater intensity to produce beneficial cessation outcomes, particularly when targeting sedentary smokers. Given that change in weight did not mediate the relationship between exercise and cessation, it is likely that other mediational processes are involved.

Weight gain and smoking: perceptions and experiences of obese quitline participants

Background

Weight gain that commonly accompanies smoking cessation can undermine a person’s attempt to quit and increase the risk for metabolic disorders. Research indicates that obese smokers have more weight concerns and gain more weight after quitting than non-obese smokers, yet little is known about possible reasons for these outcomes. We sought to gain an understanding of obese smokers’ experiences of quitting and their attitudes and beliefs about the association between smoking and weight gain.

Methods

In-depth semi-structured interviews were conducted with obese smokers who called a state tobacco quitline. Interviewers elicited discussion of obese smokers’ thoughts about smoking, the effects of quitting on change in weight, challenges they faced with quitting, and how quitlines might better serve their needs.

Results

Participants (n = 29) discussed their fear of gaining weight after quitting, their beliefs about smoking and their weight and significant experiences related to quitting. Participants’ awareness of weight gain associated with quitting was based on prior experience or observation of others who quit. Most viewed cessation as their primary goal and discussed other challenges as being more important than their weight, such as managing stress or coping with a chronic health condition. Although weight gain was viewed as less important than quitting, many talked about changes they had made to mitigate the anticipated weight gain.

Conclusions

Weight gain is a concern for obese smokers interested in quitting. Understanding the relative importance of body weight and other challenges related to smoking cessation can help tailor interventions for the specific group of smokers who are obese and interested in smoking cessation.

Impact of baseline weight on smoking cessation and weight gain in quitlines

BACKGROUND

The use and effectiveness of tobacco quitlines by weight is still unknown.

PURPOSE

This study aims to determine if baseline weight is associated with treatment engagement, cessation, or weight gain following quitline treatment.

METHODS

Quitline participants (n = 595) were surveyed at baseline, 3 and 6 months.

RESULTS

Baseline weight was not associated with treatment engagement. In unadjusted analyses, overweight smokers reported higher quit rates and were more likely to gain weight after quitting than obese or normal weight smokers. At 3 months, 40 % of overweight vs. 25 % of normal weight or obese smokers quit smoking (p = 0.01); 42 % of overweight, 32 % of normal weight, and 33 % of obese quitters gained weight (p = 0.05). After adjusting for covariates, weight was not significantly related to cessation (approaching significance at 6 months, p = 0.06) or weight gain.

CONCLUSIONS

In the first quitline study of this kind, we found no consistent patterns of association between baseline weight and treatment engagement, cessation, or weight gain.

Smoking cessation and subsequent weight change

INTRODUCTION

People who quit smoking tend to gain more weight over time than those who continue to smoke. Previous research using clinical samples of smokers suggests that quitters typically experience a weight gain of approximately 5 kg in the year following smoking cessation, but these studies may overestimate the extent of weight gain in the general population. The existing population-based research in this area has some methodological limitations.

METHODS

We assessed a cohort of individuals born in Dunedin, New Zealand, between 1972-1973 at regular intervals from age 15 to 38. We used multiple linear regression analysis to investigate the association between smoking cessation at ages 21 years to 38 years and subsequent change in body mass index (BMI) and weight, controlling for baseline BMI, socioeconomic status, physical activity, alcohol use, and parity (women).

RESULTS

Smoking status and outcome data were available at baseline and at follow-up for 914 study members. People who smoked at age 21 and who had quit by age 38 had a BMI on average 1.5 kg/m(2) greater than those who continued to smoke at age 38. This equated to a weight gain of approximately 5.7 kg in men and 5.1 kg in women above that of continuing smokers. However, the weight gain between age 21 and 38 among quitters was not significantly different to that of never-smokers.

CONCLUSIONS

The amount of long-term weight gained after quitting smoking is likely to be lower than previous estimates based on research with clinical samples. On average, quitters do not experience greater weight gain than never-smokers.

Use and effectiveness of quitlines for smokers with diabetes: cessation and weight outcomes, Washington State Tobacco Quit Line, 2008

INTRODUCTION

Having diabetes and smoking increases the risk of morbidity and mortality. However, cessation-related weight gain, a common side effect during quitting, can further complicate diabetes. Evidence-based telephone quitlines can support quitting but have not been studied adequately in populations with chronic diseases such as diabetes. The purpose of this study was to evaluate the use and effectiveness of a tobacco quitline among tobacco users with diabetes. Cessation-related weight concerns and weight gain were also assessed.

METHODS

We administered a telephone-based follow-up survey to tobacco users with and without diabetes 7 months after their enrollment in a quitline. We collected and analyzed data on demographics, tobacco use, dieting, weight concern, quitting success (7- and 30-day point prevalence), and weight gain. We computed summary statistics for descriptive data, χ(2) and t tests for bivariate comparisons, and multivariable analyses to determine correlates of cessation.

RESULTS

Tobacco users with diabetes used the quitline in a greater proportion than they were represented in the general population. Quit rates for those with and without diabetes did not differ significantly (24.3% vs 22.5%). No significant differences existed between groups for weight gain at follow-up, regardless of quit status. However, participants with diabetes reported more weight gain in previous quit attempts (34.2% vs 22.4% gained >20 lbs, P = .03). Weight concern was a significant correlate of continued smoking, regardless of diabetes status.

CONCLUSIONS

Results suggest that quitlines are effective for participants with diabetes, but tailored interventions that address weight concerns during cessation are needed.

The effect of cigarette smoking history on muscular and cardiorespiratory endurance

The purpose of this study was to investigate the effect of cigarette smoking history on physical fitness in younger adults. Small, insignificant differences in BMI between non-smokers and smokers were shown regardless of cigarette smoking history duration. Although the differences in muscular endurance increased in the samples with progressing cigarette smoking history duration, a highly significant difference in aerobic endurance was observed between the group of non-smokers and smokers with a history of smoking up to 5 years and persisted at the same level in smokers with a history of smoking for longer than 10 years.

It is better to be a fat ex-smoker than a thin smoker: findings from the 1997-2004 National Health Interview Survey-National Death Index linkage study

OBJECTIVE

The aim of this research was to compare the risk of all-cause mortality and mortality from all cancers combined, lung cancer, respiratory diseases, cardiovascular diseases and diabetes mellitus between normal-weight smokers and overweight or obese ex-smokers.

METHODS

Data were from 1997 to 2004 National Health Interview Survey (with response rates ranging from 70% to 80%) which were linked to records in the National Death Index. Mortality follow-up was through 31 December 2006. The sample was limited to normal-weight smokers and overweight/obese ex-smokers 25 years of age and older (n=52,819). HR from Cox regression was computed to represent mortality effect.

RESULTS

Results showed that in both women and men, normal-weight smokers, relative to overweight or obese ex-smokers, had a higher risk of mortality from all causes combined, all cancers combined, lung cancer, cardiovascular and respiratory diseases. Among women, there was no difference in mortality risk from diabetes mellitus between normal-weight smokers and overweight or obese ex-smokers. Among men, there was some evidence that the risk of mortality was higher in obese ex-smokers than normal-weight smokers.

CONCLUSIONS

This article concludes that, overall, mortality risk is smaller in overweight or obese ex-smokers than normal-weight smokers. Smoking cessation interventions can tailor messages that highlight the greater reduction in mortality associated with quitting, compared with potential weight gain.

Weight concerns among Finnish ever-smokers: a population-based study

INTRODUCTION

Concern over weight gain after smoking cessation has been hypothesized to discourage quit attempts and consequently reduce smoking cessation rates. The aim of this study was to examine the association between smoking status and weight concerns among a population-based sample of Finnish ever-smokers.

METHODS

Data were collected in conjunction with the National FINRISK 2007 Study from a population-based sample of 25- to 74-yearold Finns. These analyses were based on a subsample of 1,614 ever-smokers. Participants were divided into 4 groups (daily smokers, occasional smokers, recent quitters, and former smokers) based on the self-reported smoking status. Weight concerns were analyzed as a sum score including 6 items (range 0-24). Regression analyses were used to examine the association between smoking status and weight concerns, while adjusting for multiple confounders.

RESULTS

Smoking status was significantly associated with weight concerns, current daily smokers reporting the highest levels of weight concerns. After adjusting for potential confounders (age, gender, body mass index, socioeconomic status, and health behavior), the weight concerns of daily smokers remained significantly higher in comparison with all other groups. Although women were more concerned about their weight than men, no gender-specific associations were found between weight concerns and smoking status.

CONCLUSIONS

Current daily smokers are more concerned about their weight than recent quitters, as well as former and occasional smokers. Weight concerns should be taken into account in tobacco dependence treatment.